Colorado State University TC-RAMS team
Colorado State University TC-RAMS team
Colorado State University TC-RAMS team
Colorado State University TC-RAMS team
Colorado State University is a world leader in hurricane research and forecasting. Our group continues the long CSU tradition in hurricane forecasting with continually improving techniques for predicting tropical cyclone activity powered by cutting-edge new research.
Our team develops new software and AI tools that enable better data analysis and forecasts of high-impact weather. These tools include open source software for analyzing weather lidar and radar data, and AI products for better forecasts of hurricanes.
We collect data in field experiments to better study the atmosphere around the world. We manage and deploy the CSU SEA-POL radar, an NSF Community Facility, along with other weather radars on land, ships, aircraft, and satellites to study clouds and precipitation.
Our research team uses a combination of theoretical and numerical models to improve our understanding and prediction of extreme weather. The primary targets of our research are on high-impact tropical weather, including hurricanes, heavy rain, and El Nino impacts.
What's happening in the group
(2025-08-05)
Isaac Schluesche defends his research with the title, “Leveraging Machine Learning for Weather Radar Quality Control and Microphysical Retrievals”.
Congratulations Isaac! Isaac’s work combines massive amounts of airborne radar scans, novel software development, and cloud physics to work towards a quick and effective way to eliminate non-meteorological noise from valuable radar datasets. One of the key features of the new software that Isaac’s work has helped to develop is the speed with which it can process radar sweeps. Quick quality control of observations is essential for operational products.
(2025-06-26)
(2025-06-16)
Highlights of our team research activity
